An improved particle swarm fuzzy PID for adaptive control of temperature in CFRP induction heating

Abstract

An Improved Particle Swarm Optimization-Based Fuzzy PID Control Algorithm(IPSO-PID) is used to address the problem of poor CFRP molding quality caused by the inadequate adaptive capability and slow response time of the induction heating temperature control system during the curing process of carbon fiber reinforced polymer (CFRP) by electromagnetic induction heating. The three PID parameters are optimized and self-adjusted using the improved algorithm. This algorithm combines the advantages of PSO and Fuzzy-PID algorithms. It guarantees the control accuracy and search performance of the improved algorithm during the iterative process and prevents the improved algorithm from settling for the local optimal solution. The outcomes of simulation and experimentation demonstrate that the algorithm significantly improves the controller’s capacity for adaptation and shortens the adjustment period. In contrast to the conventional PID algorithm, this algorithm is better suited for controlling the temperature of electromagnetic induction heating CFRP because it reduces overshoot and steady-state error more than it does.